| 2025 | Visual Persona: Foundation Model for Full-Body Human Customization. | Jisu Nam, Soowon Son, Zhan Xu, Jing Shi, Difan Liu, Feng Liu, Seungryong Kim, Yang Zhou |
| 2025 | Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction. | Seungtae Nam, Xiangyu Sun, Gyeongjin Kang, Younggeun Lee, Seungjun Oh, Eunbyung Park |
| 2025 | DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image. | Hyeongjin Nam, Donghwan Kim, Jeongtaek Oh, Kyoung Mu Lee |
| 2025 | Optical-Flow Guided Prompt Optimization for Coherent Video Generation. | Hyelin Nam, Jaemin Kim, Dohun Lee, Jong Chul Ye |
| 2025 | Boost Your Human Image Generation Model via Direct Preference Optimization. | Sanghyeon Na, Yonggyu Kim, Hyunjoon Lee |
| 2025 | When Textures Deceive: Weakly Supervised Industrial Anomaly Detection with Adapted-Loss CycleGAN. | Tapan Ganatma Nakkina, Yuhao Zhong, Pete Sumethasorn, Haopeng Tian, Satish T. S. Bukkapatnam |
| 2025 | AIpparel: A Multimodal Foundation Model for Digital Garments. | Kiyohiro Nakayama, Jan Ackermann, Timur Levent Kesdogan, Yang Zheng, Maria Korosteleva, Olga Sorkine-Hornung, Leonidas J. Guibas, Guandao Yang, Gordon Wetzstein |
| 2025 | A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation. | Keyhan Najafian, Farhad Maleki, Lingling Jin, Ian Stavness |
| 2025 | Classification Drives Geographic Bias in Street Scene Segmentation. | Rahul Nair, Bhanu Tokas, Gabriel Tseng, Esther Rolf, Hannah Kerner |
| 2025 | Agri-FM+: A Self-Supervised Foundation Model for Agricultural Vision. | Md Jaber Al Nahian, Tapotosh Ghosh, Farnaz Sheikhi, Farhad Maleki |
| 2025 | Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation. | Sayak Nag, Udita Ghosh, Calvin-Khang Ta, Sarosij Bose, Jiachen Li, Amit K. Roy-Chowdhury |
| 2025 | PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies. | Mojtaba Nafez, Amirhossein Koochakian, Arad Maleki, Jafar Habibi, Mohammad Hossein Rohban |
| 2025 | MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking. | Numair Nadeem, Muhammad Hamza Asad, Saeed Anwar, Abdul Bais |
| 2025 | DocVLM: Make Your VLM an Efficient Reader. | Mor Shpigel Nacson, Aviad Aberdam, Roy Ganz, Elad Ben-Avraham, Alona Golts, Yair Kittenplon, Shai Mazor, Ron Litman |
| 2025 | Hierarchical Semantic Segmentation with Autoregressive Language Modeling. | Josh Myers-Dean, Brian L. Price, Yifei Fan, Danna Gurari |
| 2025 | conSAMme: Achieving Consistent Segmentations with SAM. | Josh Myers-Dean, Kangning Liu, Brian L. Price, Yifei Fan, Jason Kuen, Danna Gurari |
| 2025 | EditAR: Unified Conditional Generation with Autoregressive Models. | Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang |
| 2025 | Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality. | Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam, Ren Vidal |
| 2025 | HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models. | Erum Mushtaq, Zalan Fabian, Yavuz Faruk Bakman, Anil Ramakrishna, Mahdi Soltanolkotabi, Salman Avestimehr |
| 2025 | MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors. | Riku Murai, Eric Dexheimer, Andrew J. Davison |
| 2025 | DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos. | Lorenzo Mur-Labadia, Josechu Guerrero, Ruben Martinez-Cantin |
| 2025 | TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification. | Ans Munir, Faisal Z. Qureshi, Muhammad Haris Khan, Mohsen Ali |
| 2025 | From Data to Design: Leveraging Frequency Statistics for Efficient Neural Network Architectures. | Mustafa Munir, Guihong Li, Md Mostafijur Rahman, Alex Zhang, Radu Marculescu |
| 2025 | VideoGLaMM : A Large Multimodal Model for Pixel-Level Visual Grounding in Videos. | Shehan Munasinghe, Hanan Gani, Wenqi Zhu, Jiale Cao, Eric P. Xing, Fahad Shahbaz Khan, Salman H. Khan |
| 2025 | Uncertainty Quantification for Gradient-based Explanations in Neural Networks. | Mihir Mulye, Matias Valdenegro-Toro |